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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and systems that will redefine computational boundaries. Our interdisciplinary team collaborates with Fortune 500 partners to solve previously unsolvable challenges in cryptography, AI optimization, and molecular modeling.

At Nexus Labs, you'll work in our state-of-the-art quantum research facility with access to cutting-edge hardware and unlimited resources. We offer competitive compensation, flexible work arrangements, and the opportunity to publish groundbreaking research in top-tier journals. Shape the future of technology with us.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead research on quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Develop hybrid quantum-classical computing frameworks
  • Publish peer-reviewed research and present at international conferences
  • Secure grant funding for innovative quantum computing projects
  • Mentor junior researchers and PhD candidates

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience in quantum algorithm development
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Publication record in top-tier quantum computing or physics journals
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Excellent problem-solving skills and ability to work in cross-functional teams

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Linear Algebra Quantum Mechanics Python Machine Learning

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